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» Learning a language model from continuous speech
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NAACL
1994
15 years 3 months ago
Integrated Techniques for Phrase Extraction from Speech
We present an integrated approach to speech and natural language processing which uses a single parser to create training for a statistical speech recognition component and for in...
Marie Meteer, Jan Robin Rohlicek
142
Voted
ICASSP
2011
IEEE
14 years 5 months ago
HNM-based MFCC+F0 extractor applied to statistical speech synthesis
Currently, the statistical framework based on Hidden Markov Models (HMMs) plays a relevant role in speech synthesis, while voice conversion systems based on Gaussian Mixture Model...
Daniel Erro, Iñaki Sainz, Eva Navas, Inma H...
ICIP
2006
IEEE
15 years 8 months ago
Extracting Static Hand Gestures in Dynamic Context
Cued Speech is a specific visual coding that complements oral language lip-reading, by adding static hand gestures (a static gesture can be presented on a single photograph as it ...
Thomas Burger, Alexandre Benoit, Alice Caplier
148
Voted
NAACL
1994
15 years 3 months ago
On-Line Cursive Handwriting Recognition Using Hidden Markov Models and Statistical Grammars
The BYBLOS continuous speech recognition system is applied to on-line cursive handwriting recognition. By exploiting similarities between on-line cursive handwriting and continuou...
John Makhoul, Thad Starner, Richard M. Schwartz, G...
COLING
1996
15 years 3 months ago
Modeling Topic Coherence for Speech Recognition
Statistical language models play a major role in current speech recognition systems. Most of these models have focussed on relatively local interactions between words. Recently, h...
Satoshi Sekine